| A Behavior Regularized Implicit Policy for Offline Reinforcement Learning | Feb 19, 2022 | D4RLreinforcement-learning | —Unverified | 0 | 0 |
| A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning | Jun 13, 2023 | D4RLEfficient Exploration | —Unverified | 0 | 0 |
| Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL | Jun 16, 2021 | D4RLDomain Generalization | —Unverified | 0 | 0 |
| Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning | Feb 7, 2025 | continuous-controlContinuous Control | —Unverified | 0 | 0 |
| Improving Behavioural Cloning with Positive Unlabeled Learning | Jan 27, 2023 | Behavioural cloningD4RL | —Unverified | 0 | 0 |
| Boosting Offline Reinforcement Learning via Data Rebalancing | Oct 17, 2022 | D4RLOffline RL | —Unverified | 0 | 0 |
| Boosting Offline Reinforcement Learning with Action Preference Query | Jun 6, 2023 | Autonomous DrivingD4RL | —Unverified | 0 | 0 |
| Budgeting Counterfactual for Offline RL | Jul 12, 2023 | counterfactualCounterfactual Reasoning | —Unverified | 0 | 0 |
| CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning | Jun 11, 2024 | D4RLDenoising | —Unverified | 0 | 0 |
| CEIL: Generalized Contextual Imitation Learning | Jun 26, 2023 | D4RLImitation Learning | —Unverified | 0 | 0 |